Classification of artificially aged lentil seeds using Fourier transform near-infrared spectroscopy

Classification of artificially aged lentil seeds using Fourier transform near-infrared spectroscopy

Seed deterioration is among the main causes of loss in physiological potential. This study aimed to investigate the potential of Fourier transform near-infrared (FT-NIR) spectroscopy to classify lentil seeds subjected to artificial aging at 41 ºC and 100 % of relative humidity for 24, 48, 72, 96 and...

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Bibliographic Details
Main Authors: Marcelo Augusto Rocha Limão, Daniel Teixeira Pinheiro, André Dantas de Medeiros, João Paulo Oliveira Ribeiro, Denise Cunha Fernandes dos Santos Dias, Laércio Junio da Silva
Format: Article
Language:English
Published: Universidade Federal de Goiás 2025-08-01
Series:Pesquisa Agropecuária Tropical
Subjects:
lens culinaris
seed physiological potential
artificial intelligence
Online Access:https://revistas.ufg.br/pat/article/view/82087/43197
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